# Amazon SageMaker Feature Store vs Feast

**Leader by vioscaleAI score:** Feast

| Attribute | Amazon SageMaker Feature Store | Feast |
|---|---|---|
| **vioscaleAI score** | 51.3 (65% (medium)) | 59.4 (40% (low)) |
| activity.commits_last_30d | - | 67 |
| adoption.dependent_repos | - | 140 |
| adoption.github_stars | - | 7,320 |
| content.faq | `[{"answer":"A unified storage system that enables organizations to manage machine learning features for both training and real-time inference. It supports separate offline storage for batch training and online storage for real-time predictions, while providing access controls, feature discovery, and synchronization across teams. It is indexed under Feature Stores.","source":"https://aws.amazon.com/sagemaker/ai/pricing/","question":"What is Amazon SageMaker Feature Store?","confidence":0.6},{"answer":"Amazon SageMaker Feature Store offers a free tier, so you can start without paying. Paid plans start at $0.00. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://aws.amazon.com/sagemaker/ai/pricing/","question":"Is Amazon SageMaker Feature Store free?","confidence":0.6},{"answer":"Amazon SageMaker Feature Store supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://aws.amazon.com/sagemaker/ai/pricing/","question":"What platforms does Amazon SageMaker Feature Store support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for Amazon SageMaker Feature Store, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://aws.amazon.com/sagemaker/ai/pricing/","question":"Can Amazon SageMaker Feature Store be self-hosted?","confidence":0.6},{"answer":"We have confirmed 8 integrations for Amazon SageMaker Feature Store, including Apache Spark, Amazon S3, Amazon Redshift, AWS Lake Formation, Snowflake, Databricks Delta Lake, AWS CloudWatch and AWS Glue Data Catalog. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://aws.amazon.com/sagemaker/ai/pricing/","question":"What does Amazon SageMaker Feature Store integrate with?","confidence":0.6},{"answer":"We have independently confirmed HIPAA and GDPR for Amazon SageMaker Feature Store. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Amazon SageMaker Feature Store not holding them. Always confirm compliance directly before you rely on it.","source":"https://aws.amazon.com/compliance/?nc2=h_dsc_aa_cmp","question":"What security certifications does Amazon SageMaker Feature Store have?","confidence":0.7},{"answer":"Amazon SageMaker Feature Store is available worldwide. Its primary market is the United States. The vendor is headquartered in the United States.","source":"https://aws.amazon.com/sagemaker/ai/pricing/","question":"Where is Amazon SageMaker Feature Store available?","confidence":0.75}]` | `[{"answer":"A framework that manages feature data pipelines and serves structured features to machine learning models during both training and real-time inference at scale. It is indexed under Feature Stores.","source":"https://feast.dev","question":"What is Feast?","confidence":0.6},{"answer":"Feast is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://feast.dev","question":"Is Feast free to use?","confidence":0.6},{"answer":"Feast supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://feast.dev","question":"What platforms does Feast support?","confidence":0.6},{"answer":"Yes. Feast can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://feast.dev","question":"Can Feast be self-hosted?","confidence":0.6},{"answer":"We have confirmed 27 integrations for Feast, including Apache Iceberg, Databricks, Snowflake, AWS Glue, AWS EMR, Unity Catalog, Hadoop and DynamoDB, plus 19 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://feast.dev","question":"What does Feast integrate with?","confidence":0.6},{"answer":"Yes. Feast is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/feast-dev/feast","question":"Is Feast open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | A unified storage system that enables organizations to manage machine learning features for both training and real-time inference. It supports separate offline storage for batch training and online storage for real-time predictions, while providing access controls, feature discovery, and synchronization across teams. | Feast manages feature infrastructure for machine learning, providing historical feature retrieval for model training and real-time feature serving for inference. It ensures features are consistent across training and production, point-in-time correct, and abstracts underlying data storage systems. |
| features.capabilities | - | `{"multi_cloud":true,"pricing_model":"open-source-self-host","rbac_governance":true,"deployment_model":"self-hosted","drift_monitoring":true,"lineage_tracking":true,"streaming_features":true,"on_demand_transforms":true,"feature_registry_catalog":true,"embeddings_vector_support":true,"point_in_time_correctness":true}` |
| integrations.count | 8 | 16 |
| integrations.list | `[{"name":"Apache Spark"},{"name":"Amazon S3"},{"name":"Amazon Redshift"},{"name":"AWS Lake Formation"},{"name":"Snowflake"},{"name":"Databricks Delta Lake"},{"name":"AWS CloudWatch"},{"name":"AWS Glue Data Catalog"}]` | `[{"name":"Apache Iceberg"},{"name":"Databricks"},{"name":"Snowflake"},{"name":"AWS Glue"},{"name":"AWS EMR"},{"name":"Unity Catalog"},{"name":"Hadoop"},{"name":"DynamoDB"},{"name":"Redis"},{"name":"PostgreSQL"},{"name":"MySQL"},{"name":"MongoDB"},{"name":"Milvus"},{"name":"ClickHouse"},{"name":"FAISS"},{"name":"Apache Spark"},{"name":"MLflow"},{"name":"OpenLineage"},{"name":"dbt"},{"name":"Amundsen"},{"name":"DataHub"},{"name":"Databricks Unity Catalog","native":true},{"name":"Apache Polaris","native":true},{"name":"Project Nessie","native":true},{"name":"BigQuery","native":true},{"name":"DuckDB","native":true},{"name":"Spark","native":true},{"name":"Ray","native":true},{"name":"SQLite","native":true},{"name":"Iceberg","native":true},{"name":"ScyllaDB","native":true},{"name":"Aerospike","native":true},{"name":"Dask","native":true},{"name":"AWS","native":true},{"name":"GCP","native":true}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true,"linux":true}` |
| pricing | `{"type":"usage","plans":[{"free":false,"name":"On-Demand","summary":"Pay per second used, no commitment required","features":["Per-second compute billing","Real-time inference","Batch transform","Feature monitoring","Data lineage"],"components":[{"per":{"qty":1,"unit":"second"},"kind":"metered","amount":0.00004,"currency":"USD"}],"description":"Pay-as-you-go pricing with no minimum fees or upfront commitments, charged per second for compute and per GB for data processing","contactSales":false},{"free":false,"name":"Savings Plans","summary":"Up to 64% discount with usage commitment","features":["Up to 64% savings versus on-demand","Flexible across instance families and regions","Automatic application to eligible usage"],"commitment":"annual","description":"Flexible usage-based pricing model with commitment to consistent usage levels, providing up to 64% cost reduction","contactSales":false}],"summary":"Usage-based pricing with per-second compute billing. Free tier includes 250 hours on ml.t3.medium for 2 months. Savings Plans available for committed usage.","currency":"USD","freeTier":true,"sourceUrl":"https://aws.amazon.com/sagemaker/ai/pricing/","retrievedAt":"2026-08-19T09:07:38.229Z","startingPrice":{"unit":"second","amount":0.00004,"currency":"USD"},"billingPeriods":["month"]}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://feast.dev","retrievedAt":"2026-10-05T11:05:19.725Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | open_source |
| pricing.price_level | low | free |
| pricing.starting_price | `{"amount":0.00004,"currency":"USD"}` | - |
| pricing.transparent | yes | yes |
| release.cadence_days | - | 25 |
| release.history | - | `[{"url":"https://github.com/feast-dev/feast/releases/tag/v0.66.0","date":"2026-08-21T03:31:12Z","type":"stable","version":"v0.66.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.65.0","date":"2026-07-20T13:28:11Z","type":"stable","version":"v0.65.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.64.0","date":"2026-06-13T11:22:15Z","type":"stable","version":"v0.64.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.63.0","date":"2026-05-04T03:44:33Z","type":"stable","version":"v0.63.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.62.0","date":"2026-04-08T14:26:38Z","type":"stable","version":"v0.62.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.61.0","date":"2026-03-10T20:00:19Z","type":"stable","version":"v0.61.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.60.0","date":"2026-02-17T13:52:47Z","type":"stable","version":"v0.60.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.59.0","date":"2026-01-16T21:11:22Z","type":"stable","version":"v0.59.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.58.0","date":"2025-12-16T17:51:30Z","type":"stable","version":"v0.58.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.57.0","date":"2025-11-13T20:26:30Z","type":"stable","version":"v0.57.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.56.0","date":"2025-10-27T20:28:47Z","type":"stable","version":"v0.56.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.55.0","date":"2025-10-14T14:37:37Z","type":"stable","version":"v0.55.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.54.0","date":"2025-09-30T12:39:46Z","type":"stable","version":"v0.54.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.53.0","date":"2025-08-30T03:55:37Z","type":"stable","version":"v0.53.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.52.0","date":"2025-08-14T13:19:27Z","type":"stable","version":"v0.52.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.51.0","date":"2025-07-21T20:53:16Z","type":"stable","version":"v0.51.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.50.0","date":"2025-07-01T03:10:16Z","type":"stable","version":"v0.50.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.49.0","date":"2025-04-29T13:15:59Z","type":"stable","version":"v0.49.0"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.48.1","date":"2025-04-08T17:38:35Z","type":"stable","version":"v0.48.1"},{"url":"https://github.com/feast-dev/feast/releases/tag/v0.48.0","date":"2025-04-07T18:33:18Z","type":"stable","version":"v0.48.0"}]` |
| reliability.status_page | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.scorecard | - | 5.7 |
| security.vulnerabilities | - | `{"count":2,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=feast&per_page=100","last_12m":1,"max_severity":"HIGH"}` |

## Capabilities (Feature Stores)

| Capability | Amazon SageMaker Feature Store | Feast |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Point in time correctness | - | ✓ |
| Feature registry catalog | - | ✓ |
| Streaming features | - | ✓ |
| On demand transforms | - | ✓ |
| Deployment model | - | Self hosted |
| Drift monitoring | - | ✓ |
| Embeddings vector support | - | ✓ |
| Multi cloud | - | ✓ |
| RBAC governance | - | ✓ |
| Lineage tracking | - | ✓ |
| Pricing model | - | Open source self host |

*Source: vioscaleAI. Generated 2026-10-16T19:28:21.109Z. "-" = undocumented, not absent.*